早期偏头痛患者脑网络度中心度的静息态fMRI研究

王小东; 徐铭; 陈小刚; 郑涛; 陈长江

doi:10.13406/j.cnki.cyxb.002869

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早期偏头痛患者脑网络度中心度的静息态fMRI研究

神经影像诊断 | 更新时间：2022-06-24

- 早期偏头痛患者脑网络度中心度的静息态fMRI研究
- Degree centrality of brain network in patients with early migraine: a resting-state functional magnetic resonance imaging study
- 重庆医科大学学报 2021年46卷第7期页码：834-837
- 作者机构：
  
  1.重庆市潼南区人民医院　放射科，重庆　402660
  2.重庆市潼南区人民医院　神经内科，重庆　402660
- 作者简介：
  
  王小东，Email：13452198607@163.com，研究方向：神经影像诊断。
  徐铭，Email：664603233@qq.com。
- 基金信息：
  
  重庆市科卫联合医学科研资助项目(2019MSXM100)
- DOI：10.13406/j.cnki.cyxb.002869
  中图分类号： R445.2
- 纸质出版日期：2021-07-28，
  
  收稿日期：2021-03-10，
扫描看全文
王小东, 徐铭, 陈小刚, 等. 早期偏头痛患者脑网络度中心度的静息态fMRI研究[J]. 重庆医科大学学报, 2021,46(7):834-837.

Xiaodong Wang, Ming Xu, Xiaogang Chen, et al. Degree centrality of brain network in patients with early migraine: a resting-state functional magnetic resonance imaging study[J]. Journal of Shanxi Agricultural Sciences, 2021,46(7):834-837.
王小东, 徐铭, 陈小刚, 等. 早期偏头痛患者脑网络度中心度的静息态fMRI研究[J]. 重庆医科大学学报, 2021,46(7):834-837. DOI： 10.13406/j.cnki.cyxb.002869.

Xiaodong Wang, Ming Xu, Xiaogang Chen, et al. Degree centrality of brain network in patients with early migraine: a resting-state functional magnetic resonance imaging study[J]. Journal of Shanxi Agricultural Sciences, 2021,46(7):834-837. DOI： 10.13406/j.cnki.cyxb.002869.

摘要

目的：

采用静息态功能磁共振（resting-state functional magnetic resonance imaging，rsfMRI）探究早期偏头痛患者脑网络度中心度相较于健康人群是否存在异常。

方法：

对重庆市潼南区人民医院44例早期偏头痛患者及45名健康对照者（正常对照组）行rsfMRI扫描，所得数据利用DPARSFA软件预处理，并基于图论理论分析比较早期偏头痛患者和健康人群度中心度（degree centrality，DC）值差异，通过斯皮尔曼相关分析差异脑区DC值与简易智力状态检查量表（mini-mental state examination，MMSE）评分、汉密尔顿焦虑量表（Hamilton anxiety scale，HAMA）评分和汉密尔顿抑郁量表（Hamilton depression scale，HAMD）评分的相关性。

结果：

早期偏头痛组和健康对照组进行全脑网络节点度中心度比较发现，在丘脑、颞上回、内侧额叶脑回、额叶、边缘叶、中央后回、中央前回、旁中央小叶脑区存在统计学差异（

0.05，Cluster

20，TFCE校正，置换检验次数为5 000），但DC值与临床评分无相关性（

0.05）。

结论：

早期偏头痛患者脑网络度中心度改变的脑区主要位于痛觉辨别处理区，为进一步探究偏头痛的病理学和神经生理学机制提供了新的发现。

Abstract

Objective

To investigate the abnormality of degree centrality of brain network in patients with early migraine compared with healthy subjects using resting-state functional magnetic resonance imaging (fMRI).

Methods

A total of 44 patients with early migraine and 45 healthy controls were included

and the resting-state fMRI scanning for each subject was performed. The MRI data were pre-processed using DPARSFA software. The degree centrality (DC) based on graph theory analysis was calculated for both patients with early migraine and healthy controls. The comparison was performed by independent-sample t-test

and the spearman correlation analysis was used to evaluate the correlation between DC value of significant brain areas and the mini-mental state examination (MMSE)

Hamilton anxiety scale (HAMA) and Hamilton depression scale (HAMD) scores.

Results

For the patients with early migraine

the DC values in the thalamus

the superior temporal gyrus

the medial frontal gyrus

the frontal lobe

the limbic lobe

the posterior central gyrus

the anterior central gyrus and the paracentral lobule were significantly different compared to the healthy subjects (

0.05

the Cluster

TFCE

permutation times

5 000)

but there was no correlation between the DC values and clinical scores (

0.05).

Conclusion

The changes of DC values in patients with early migraine are mainly located in the area of pain recognition and processing

which provides a new discovery for further exploring the pathological and neurophysiological mechanisms of migraine.

关键词

静息态功能磁共振早期偏头痛度中心度脑功能

Keywords

resting-state functional magnetic resonance imagingearly migrainedegree centralitycerebral function

references

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Russo A, Tessitore A, Esposito F, et al. Pain processing in patients with migraine: an event-related fMRI study during trigeminal nociceptive stimulation[J]. J Neurol, 2012, 259(9):1903-1912.

Schulte LH, Allers A, May A. Hypothalamus as a mediator of chronic migraine: evidence from high-resolution fMRI[J]. Neurology, 2017, 88(21):2011-2016.

Tu YH, Zeng F, Lan L, et al. An fMRI-based neural marker for migraine without aura[J]. Neurology, 2020, 94(7):e741-e751.

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Yan CG, Wang XD, Zuo XN, et al. DPABI: data processing&analysis for resting-state brain imaging[J]. Neuroinformatics, 2016, 14(3):339-351.

Hougaard A, Amin FM, Hoffmann MB, et al. Interhemispheric differences of fMRI responses to visual stimuli in patients with side-fixed migraine aura[J]. Hum Brain Mapp, 2014, 35(6):2714-2723.

Russo A, Silvestro M, Tessitore A, et al. Recent insights in migraine with aura: a narrative review of advanced neuroimaging[J]. Head-ache, 2019, 59(4):637-649.

Zhang J, Su J, Wang M, et al. The sensorimotor network dysfunction in migraineurs without aura: a resting-state fMRI study[J]. J Neurol, 2017, 264(4):654-663.

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Meda KS, Patel T, Braz JM, et al. Microcircuit mechanisms through which mediodorsal thalamic input to anterior cingulate cortex exacerbates pain-related aversion[J]. Neuron, 2019, 102(5):944-959.

Chen C, Yan M, Yu Y, et al. Alterations in regional homogeneity assessed by fMRI in patients with migraine without aura[J]. J Med Syst, 2019, 43(9):298.

Moulton EA, Becerra L, Maleki N, et al. Painful heat reveals hyperexcitability of the temporal pole in interictal and ictal migraine states[J]. Cereb Cortex, 2011, 21(2):435-448.

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